基于多式联运用户生成内容数据的旅游目的地地形图的感知研究
PeerJ. Computer science
|March 4, 2024
概括
这项研究揭示了游客对桑亚的看法.
科学领域:
- 旅游管理 旅游管理
- 计算社会科学 计算社会科学
- 营销科学 营销科学
背景情况:
- 目的地形象对于旅游营销和管理至关重要.
- 准确的目的地图像识别有助于竞争战略.
- 多式联运旅游产生的数据提供了全面的见解.
研究的目的:
- 使用多模式数据构建一个系统的目的地图像过程.
- 为了检查游客对桑亚目的地的看法图片.
- 分析目的地图像的认知和情感维度.
主要方法:
- 使用了"认知-情感-整体图像"模型.
- 应用潜伏迪里克莱特分配 (LDA) 用于主题建模.
- 使用深度残留神经网络进行图像和视频分析.
- 分析了来自Ctrip,Qunar和TikTok的多式联运数据.
主要成果:
- 游客对三亚的看法主要是基于认知方面的:自然风景,人力资源和食物.
- 文本和视觉认知图像之间存在显著的差异.
- 游客对三亚的情感形象主要是积极的.
结论:
- 多模式数据分析提供了对目标图像的细微了解.
- 认知和情感组成部分是整体目的地感知的关键驱动因素.
- 营销策略应该利用文字和视觉元素来塑造目的地形象.
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